Construction Specification of Directed Acyclic Graphs: An Introduction to the ESC-DAGs Method and Case Interpretation in Cerebrovascular Disease Research by HAO Yunyi1, XIA Xue2,3, XU Qin2,3, ZHAO Xingquan1,3, WANG Anxin2,3

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Built-in selection or confounder bias? Dynamic Landmarking in matched propensity score analyses by Alexandra Strobel, Andreas Wienke, Jan Gummert, Sabine Bleiziffer, Oliver Kuss

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Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic by Clémence Leyrat, Agnès Caille, Yohann Foucher, Bruno Giraudeau

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A Review of Causal Methods for High-Dimensional Data by Zewude A. Berkessa, Esa Laara, Patrik Waldmann

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Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models by Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya

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Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments by Charlotte A. Bolch, Haitao Chu, Stephanie Jarosek, Stephen R. Cole, Sean Elliott, Beth Virnig

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Matched design for marginal causal effect on restricted mean survival time in observational studies by Lin Zihan, Ni Ai, Lu Bo

Subjects: “…confounding bias…”
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Reducing bias in experimental ecology through directed acyclic graphs by Suchinta Arif, Melanie Duc Bo Massey

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Overcoming Confounding Bias in Causal Discovery Using Minimum Redundancy and Maximum Relevancy Constraint by Havisha Nadendla, Pujit Pavan Etha, Pradeep Chowriappa

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